Improving Cell Type Classification in Histology Images with Active Learning.
Justin XiangRichard BellMatthew BrendelEdward SchwarzFei WangPublished in: AMIA (2022)
Keyphrases
- image classification
- active learning
- image data
- input image
- image database
- image features
- ground truth
- image retrieval
- image registration
- supervised learning
- image analysis
- image collections
- feature extraction
- cell segmentation
- machine learning
- feature selection
- edge detection
- microscopy images
- microscopic images
- thematic mapper
- classification accuracy
- pattern recognition
- three dimensional
- feature vectors
- image processing
- object recognition
- random sampling
- class imbalance
- preprocessing stage
- selective sampling
- support vector
- fluorescence microscopy images
- semi supervised
- batch mode active learning
- image matching
- segmentation method
- multi class